黄河下游冲积平原试验区土壤水分特征曲线的传递函数研究  

Study on Pedo-Transfer Functions of Soil Water Characteristic Curve in an Experimental Area of Alluvial Plain in the Lower Yellow River

作　　者：湛江 刘颜珲 王琳 潘登 蔡金龙 ZHAN Jiang;LIU Yan-hui;WANG Lin;PAN Deng;CAI Jin-long(Yellow River Engineering Consulting Co.,Ltd,Zhengzhou 450003,China;Henan Provincial Natural Resources Monitoring and Land Improvement Institute,Zhengzhou 450016,China;Groundwater Resources Investigation and Monitoring Research Institute of Henan Natural Resources Science and Technology Innovation Center,Zhengzhou 450016,China;Key Laboratory of Water Management and Water Security for Yellow River Basin,Ministry of Water Resources(under construction),Zhengzhou 450003,China;Nanjing Hydraulic Research Institute,Nanjing 210029,China)

机构地区：[1]黄河勘测规划设计研究院有限公司,郑州450003 [2]河南省自然资源监测和国土整治院,郑州450016 [3]河南省自然资源科技创新中心地下水资源调查监测研究所,郑州450016 [4]水利部黄河流域水治理与水安全重点实验室(筹),郑州4500035 [5]南京水利科学研究院,南京210029

出　　处：《节水灌溉》2024年第6期54-62,共9页Water Saving Irrigation

基　　金：河南省自然资源厅科技项目(201937913);黄河勘测规划设计研究院有限公司自主研发项目(2020-ky06)。

摘　　要：黄河下游冲积平原区是我国重要的粮食生产基地和工业集聚地,该地区土壤水力学参数的获取,对于保障用水安全和指导农业生产具有重要意义。为建立黄河下游冲积平原区的土壤水分特征曲线传递函数(PTFs),以河南省兰考县闫楼乡作为黄河下游冲积平原试验区,基于多元非线性逐步回归和单因素扰动方法,建立了包气带土壤水分特征曲线的PTFs,并分析了影响因素敏感性。研究结果显示,实测土壤水分特征曲线以及土壤理化性质参数呈现较强变异性,所建立的PTFs精度良好,具备应用推广价值。多元回归结果表明,土壤颗粒组成是本文PTFs的主要影响因素,其中黏粒含量对PTFs最为敏感,砂粒含量次之,粉粒含量最弱。在其余5个土壤理化特性中,对PTFs的相对敏感的因素是pH值和分形维数。研究表明,土壤物理化学性质与土壤水分特征曲线模型参数的关系复杂,并非一般线性或单调关系。尽管土壤物理化学性质参数可以提高PTFs精度,但土壤颗粒组成是影响土壤水分运动的根本原因,其作为构建PTFs的关键因素不可忽略。在实际应用中,PTFs使用者可根据所掌握数据的实际情况,结合影响因素敏感性,决定影响因素的取舍。The alluvial plain area in the lower reaches of the Yellow River is an important grain production base and industrial agglomeration in China.The acquisition of soil hydraulic parameters in this area is crucial for ensuring water safety and guiding agricultural production.To establish the PTFs of soil water characteristic curves in the alluvial plain area of the lower Yellow River,Yanlou Township,Lankao County,Henan Province,is selected as a representative area in the alluvial plain of the lower Yellow River.Based on multiple nonlinear stepwise regression and single factor perturbation methods,the PTFs of soil water characteristic curves in the vadose zone were established,and the sensitivity of influencing factors was analyzed.The research results show that the measured soil water characteristic curves and soil physicochemical parameters exhibit strong variability.The PTFs established in this research demonstrate good accuracy,which have application and promotion value.The multiple regression results indicate that soil particle composition is the main influencing factor of PTFs in this study.The clay content is the most sensitive,followed by sand content,and the silt content is the weakest.Among the other five soil physicochemical properties,the relatively sensitive factors are pH value and fractal dimension.This study indicates that the relationship between soil physicochemical properties and soil water characteristic curve model parameters is complex.It is not a general linear or monotonic relationship.Although soil physical and chemical property parameters can improve the accuracy of PTFs,soil particle composition is the fundamental reason affecting soil water movement,and cannot be ignored as a key factor in the constructing of PTFs.In practical applications,PTFs users can determine the choice of influencing factors based on the actual situation of the data they have mastered,combined with the sensitivity of influencing factors.

关 键 词：黄河下游冲积平原 土壤水分特征曲线 土壤传递函数 多元逐步回归 分形维数 参数敏感性 

分 类 号：S152.7[农业科学—土壤学] TV93[农业科学—农业基础科学]